{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "M1、M2关系。公布时间 每月10号前，之前是10号~15号\n",
    "\n",
    "* M1 是\"随时能拿来花的钱\"，比如现金和随时能用的银行存款。\n",
    "* M2 是\"暂时存放的钱\"，包括了M1里所有的钱，还加上了一些存款和资产，虽然这些不完全是马上能用的，但仍然相对流动。\n",
    "所以，M2的范围比M1大，M2代表的是整个经济中更广泛的货币供应。\n",
    "\n",
    "每月10号前，之前是10号~15号\n",
    "* M1 与债市收益率负相关，看发布时间。逻辑：gdp 不增速不够，M1 增加，经济不好，收益率下降。\n",
    "* M2 增速与债市收益率负相关\n",
    "* M2 - M1 利差与债市收益率负相关\n",
    "\n",
    "\n",
    "M0是指流通中的现金， 作用是判断市场资金流动性，正相关。值越大说明经济比好。\n",
    "\n",
    "M0与M1、M2的关系\n",
    "M1 = M0 + 活期存款，（M1是在M0的基础上加上活期存款，反映交易货币的总量）\n",
    "M2 = M1 + 定期存款 + 储蓄存款 + 其他准货币\n",
    "（M2是广义货币供应量，包含M1以及定期存款等，反映投资与储蓄货币的总量）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           月份  货币和准货币(M2)-数量(亿元)  货币和准货币(M2)-同比增长  货币和准货币(M2)-环比增长  \\\n",
      "0   2024年12月份         3135322.30              7.3         0.504395   \n",
      "1   2024年11月份         3119587.27              7.1         0.726335   \n",
      "2   2024年10月份         3097092.01              7.5         0.074117   \n",
      "3   2024年09月份         3094798.24              6.8         1.453451   \n",
      "4   2024年08月份         3050461.27              6.3         0.573694   \n",
      "5   2024年07月份         3033060.78              6.3        -0.560651   \n",
      "6   2024年06月份         3050161.54              6.2         1.048691   \n",
      "7   2024年05月份         3018506.73              7.0         0.217957   \n",
      "8   2024年04月份         3011941.98              7.2        -1.181455   \n",
      "9   2024年03月份         3047952.16              8.3         1.748553   \n",
      "10  2024年02月份         2995572.97              8.7         0.649232   \n",
      "11  2024年01月份         2976250.20              8.7         1.831752   \n",
      "12  2023年12月份         2922713.33              9.7         0.367413   \n",
      "13  2023年11月份         2912014.22             10.0         1.031759   \n",
      "14  2023年10月份         2882276.07             10.3        -0.496539   \n",
      "15  2023年09月份         2896659.11             10.3         0.951990   \n",
      "16  2023年08月份         2869343.25             10.6         0.536493   \n",
      "17  2023年07月份         2854031.56             10.7        -0.661055   \n",
      "18  2023年06月份         2873023.83             11.3         1.862048   \n",
      "19  2023年05月份         2820504.68             11.6         0.428537   \n",
      "\n",
      "    货币(M1)-数量(亿元)  货币(M1)-同比增长  货币(M1)-环比增长  流通中的现金(M0)-数量(亿元)  \\\n",
      "0       670959.41         -1.4     3.081137          128194.16   \n",
      "1       650904.16         -3.7     2.770424          124180.26   \n",
      "2       633357.47         -6.1     0.815128          122447.04   \n",
      "3       628236.54         -7.4    -0.317586          121830.00   \n",
      "4       630238.09         -7.3    -0.325551          119472.57   \n",
      "5       632296.54         -6.6    -4.286032          118840.46   \n",
      "6       660610.52         -5.0     2.128501          117736.77   \n",
      "7       646842.47         -4.2    -2.003319          117062.72   \n",
      "8       660065.69         -1.4    -3.753700          117310.55   \n",
      "9       685808.90          1.1     2.987285          117210.50   \n",
      "10      665916.09          1.2    -4.074024          121009.93   \n",
      "11      694197.88          5.9     2.006540          121398.54   \n",
      "12      680542.52          1.3     0.686357          113444.64   \n",
      "13      675903.41          1.3     0.178946          110225.18   \n",
      "14      674696.07          1.9    -0.552379          108565.35   \n",
      "15      678443.65          2.1    -0.168440          109253.22   \n",
      "16      679588.35          2.2     0.349877          106515.36   \n",
      "17      677218.92          2.3    -2.641846          106129.68   \n",
      "18      695595.48          3.1     3.012575          105419.20   \n",
      "19      675252.98          4.7     0.819908          104756.71   \n",
      "\n",
      "    流通中的现金(M0)-同比增长  流通中的现金(M0)-环比增长  \n",
      "0              13.0         3.232317  \n",
      "1              12.7         1.415485  \n",
      "2              12.8         0.506476  \n",
      "3              11.5         1.973198  \n",
      "4              12.2         0.531898  \n",
      "5              12.0         0.937422  \n",
      "6              11.7         0.575802  \n",
      "7              11.7        -0.211260  \n",
      "8              10.8         0.085359  \n",
      "9              11.0        -3.139767  \n",
      "10             12.5        -0.320111  \n",
      "11              5.9         7.011261  \n",
      "12              8.3         2.920803  \n",
      "13             10.4         1.528876  \n",
      "14             10.2        -0.629611  \n",
      "15             10.7         2.570390  \n",
      "16              9.5         0.363404  \n",
      "17              9.9         0.673957  \n",
      "18              9.8         0.632408  \n",
      "19              9.6        -1.083760  \n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import akshare as ak\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 获取中国货币供应量数据，包括 M0\n",
    "money_supply = ak.macro_china_money_supply().head(20)\n",
    "print(money_supply)\n",
    "\n",
    "# 处理 M0 数据\n",
    "money_supply['月份'] = pd.to_datetime(money_supply['月份'], format='%Y年%m月份')  # 格式化日期\n",
    "m0_data = money_supply[['月份', '流通中的现金(M0)-数量(亿元)']].set_index('月份')  # 提取 M0 数据，并设置日期为索引\n",
    "\n",
    "# 绘制 M0 曲线\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(m0_data.index, m0_data['流通中的现金(M0)-数量(亿元)'], color='orange', label='M0 (亿元)')\n",
    "\n",
    "# 添加图表标题和标签\n",
    "plt.title(\"中国货币供应量 M0 曲线\", fontsize=16)\n",
    "plt.xlabel(\"时间\", fontsize=12)\n",
    "plt.ylabel(\"M0（亿元）\", fontsize=12)\n",
    "plt.grid(linestyle='--', alpha=0.7)\n",
    "plt.legend(fontsize=12)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()  # 自动调整布局，防止标签被裁剪\n",
    "\n",
    "# 显示图表\n",
    "plt.show()\n"
   ]
  }
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